| Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers S Zheng, J Lu, H Zhao, X Zhu, Z Luo, Y Wang, Y Fu, J Feng, T Xiang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1219 | 2021 |
| Pixel2mesh: Generating 3d mesh models from single rgb images N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang Proceedings of the European conference on computer vision (ECCV), 52-67, 2018 | 984 | 2018 |
| Soft filter pruning for accelerating deep convolutional neural networks Y He, G Kang, X Dong, Y Fu, Y Yang arXiv preprint arXiv:1808.06866, 2018 | 764 | 2018 |
| Transductive Multi-view Zero-Shot Learning Y Fu, T Hospedales, T Xiang, S Gong IEEE TPAMI, 2015 | 468 | 2015 |
| Pose-normalized image generation for person re-identification X Qian, Y Fu, T Xiang, W Wang, J Qiu, Y Wu, YG Jiang, X Xue Proceedings of the European conference on computer vision (ECCV), 650-667, 2018 | 410 | 2018 |
| Multi-scale deep learning architectures for person re-identification X Qian, Y Fu, YG Jiang, T Xiang, X Xue Proceedings of the IEEE international conference on computer vision, 5399-5408, 2017 | 269 | 2017 |
| Transductive multi-view embedding for zero-shot recognition and annotation Y Fu, TM Hospedales, T Xiang, Z Fu, S Gong Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 264 | 2014 |
| Multi-level semantic feature augmentation for one-shot learning Z Chen, Y Fu, Y Zhang, YG Jiang, X Xue, L Sigal IEEE Transactions on Image Processing 28 (9), 4594-4605, 2019 | 209* | 2019 |
| Multi-view video summarization Y Fu, Y Guo, Y Zhu, F Liu, C Song, ZH Zhou IEEE Transactions on Multimedia 12 (7), 717-729, 2010 | 203 | 2010 |
| Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking J Peng, C Wang, F Wan, Y Wu, Y Wang, Y Tai, C Wang, J Li, F Huang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 191 | 2020 |
| Image deformation meta-networks for one-shot learning Z Chen, Y Fu, YX Wang, L Ma, W Liu, M Hebert Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 179 | 2019 |
| Learning multimodal latent attributes Y Fu, TM Hospedales, T Xiang, S Gong IEEE transactions on pattern analysis and machine intelligence 36 (2), 303-316, 2013 | 164 | 2013 |
| Learning multi-modal latent attributes Y Fu, T Hospedales, T Xiang, S Gong IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1-1, 2013 | 164 | 2013 |
| Pixel2mesh++: Multi-view 3d mesh generation via deformation C Wen, Y Zhang, Z Li, Y Fu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 158 | 2019 |
| Semi-supervised vocabulary-informed learning Y Fu, L Sigal Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 158 | 2016 |
| Attribute learning for understanding unstructured social activity Y Fu, TM Hospedales, T Xiang, S Gong Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 150 | 2012 |
| Recent advances in zero-shot recognition: Toward data-efficient understanding of visual content Y Fu, T Xiang, YG Jiang, X Xue, L Sigal, S Gong IEEE Signal Processing Magazine 35 (1), 112-125, 2018 | 143 | 2018 |
| Instance credibility inference for few-shot learning Y Wang, C Xu, C Liu, L Zhang, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 118 | 2020 |
| Deep learning for video classification and captioning Z Wu, T Yao, Y Fu, YG Jiang Frontiers of multimedia research, 3-29, 2017 | 117 | 2017 |
| Stacked semantics-guided attention model for fine-grained zero-shot learning Z Ji, Y Fu, J Guo, Y Pang, ZM Zhang Advances in neural information processing systems 31, 2018 | 111 | 2018 |
Xiangyang XueProfessor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
